材料科学
复合材料
极限抗拉强度
粒子(生态学)
选择性激光熔化
复合数
合金
微尺度化学
金属基复合材料
融合
纳米尺度
工作(物理)
动能
激光器
无量纲量
数字密度
微观结构
粒径
纳米颗粒
延伸率
粒度分布
激光功率缩放
颗粒密度
作者
Peng Zhao,Quan Han,Zhenhua Zhang,Zhongyang Sui,Liqiao Wang,Bo Song,Min Zhu,Xiebin Wang,Rossi Setchi,Chuanzhen Huang
标识
DOI:10.1088/2631-7990/ae3b82
摘要
Abstract The laser powder bed fusion (LPBF) of metal matrix composites (MMCs) involves distinctive rapid melting and nonequilibrium solidification dynamics. Elucidating the intricate evolution mechanisms of particles is critical for fabricating MMCs with superior strength-ductility synergy. In this study, both GH3536 Ni-based alloy and 5 wt% TiC-reinforced GH3536 composites (GH3536-5TiC) were fabricated via LPBF. The influence of volumetric laser energy density on the microstructure, mechanical properties, and multiscale evolution of TiC particles was systematically investigated. The experimental results revealed that a positive correlation existed between the energy density and both the TiC particle loss rate and average particle size, which was attributed to the coarsening and spattering behaviour of TiC particles, as demonstrated through multiscale evolution simulations. A dimensionless quantities framework based on kinetic calculations of the melt pool was established to determine the effect of energy density on TiC particle evolution. The growth mechanism of nanoscale TiC particles (<100 nm) is primarily governed by chemical transport, while microscale TiC particles (3–7 μm) mainly undergo impingement-driven coarsening. Low energy density was found to reduce the impingement-driven coarsening. In addition, this study demonstrated the hierarchical distribution of TiC particles after multiscale evolution. Compared to GH3536, the GH3536-5TiC fabricated under low energy density conditions demonstrated significantly enhanced tensile performance. At 1 173 K, its ultimate tensile strength and elongation values were found to be 304 MPa and 42%, respectively. Overall, this work provides a theoretical guideline for the performance optimisation of additively manufactured advanced composites via controlling the evolution of reinforcements.
科研通智能强力驱动
Strongly Powered by AbleSci AI